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2020 – today
- 2026
[j3]Nguyen Nang Hung Van
, Phuc Hao Do, Van Nam Hoang, Truc Thi Kim Nguyen, Tran Duc Le:
PBSNet: Parallel branch spatial network for precise brain tumor classification in MRI slices. Biomed. Signal Process. Control. 113: 108993 (2026)- 2025
- [j2]Phuc Hao Do, Duc Tran Le, Truong Duy Dinh, Van-Dai Pham:
Classifying IoT Botnet Attacks With Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations. IEEE Access 13: 16072-16093 (2025) - [j1]Nang Hung Van Nguyen, Phuc Hao Do, Van-Nam Hoang, Truc Thi Kim Nguyen, Minh Tuan Pham:
AI-Powered University Admission Counseling: A Use Case of Large Language Models in Student Guidance. IEEE Trans. Learn. Technol. 18: 856-868 (2025) - [i4]Phuc Hao Do, Duc Tran Le:
Challenges in Applying Variational Quantum Algorithms to Dynamic Satellite Network Routing. CoRR abs/2508.04288 (2025) - [i3]Phuc Hao Do, Duc Tran Le:
Raising the Bar: An Asymptotic Comparison of Classical and Quantum Shortest Path Algorithms. CoRR abs/2508.12074 (2025) - [i2]Duc Tran Le, Phuc Hao Do, Truong Duy Dinh, Van-Dai Pham:
Are Enterprises Ready for Quantum-Safe Cybersecurity? CoRR abs/2509.01731 (2025) - [i1]Huu Phu Le, Phuc Hao Do, Vo Hoang Long Nguyen, Nang Hung Van Nguyen:
A Non-Monotonic Relationship: An Empirical Analysis of Hybrid Quantum Classifiers for Unseen Ransomware Detection. CoRR abs/2509.07924 (2025) - 2024
- [c9]Phuc Hao Do, Duc Tran Le, Vladimir M. Vishnevsky, Aleksandr Berezkin, Ruslan Kirichek:
A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset. ICACT 2024: 1494-1506 - 2023
- [c8]Viet Trung Le, Phuc Hao Do, Sylvestre Uwizeyemungu, Thang Le Dinh, Duc Tran Le:
Utilizing InfoGAN and PE Header Features for Synthetic Ransomware Image Generation: An Experimental Study. FDSE 2023: 226-239 - [c7]Phuc Hao Do, Duc Tran Le, Vladimir M. Vishnevsky, Aleksandr Berezkin, Ruslan Kirichek:
A Horizontal Federated-Learning Model for Detecting Abnormal Traffic Generated by Malware in IoT Networks. ICACT 2023: 28-36 - [c6]Phuc Hao Do, Pham Van Quan, Duc Tran Le, Truong Duy Dinh, Nang Hung Van Nguyen, Minh Tuan Pham:
Unveiling the Power of Pretrained Models for Neural Machine Translation in Vietnamese Language: A Comparative Analysis. RIVF 2023: 452-457 - [c5]Nang Hung Van Nguyen, Phuc Hao Do, Van-Nam Hoang, Aleksandr Borodko, Duc Tran Le:
Leveraging FFT and Hybrid EfficientNet for Enhanced Action Recognition in Video Sequences. SoICT 2023: 32-39 - 2021
- [c4]Van-Dai Pham, Phuc Hao Do, Duc Tran Le, Ruslan Kirichek:
LoRa Link Quality Estimation Based on Support Vector Machine. DCCN 2021: 92-102 - [c3]Phuc Hao Do, Truong Duy Dinh, Duc Tran Le, Van-Dai Pham, Lyudmila Myrova, Ruslan Kirichek:
An Efficient Feature Extraction Method for Attack Classification in IoT Networks. ICUMT 2021: 194-199
2010 – 2019
- 2016
- [c2]Minh Tuan Pham, Phuc Hao Do, Kanta Tachibana:
Feature extraction for classification method using principal component based on conformal geometric algebra. IJCNN 2016: 4112-4117 - [c1]Nang Hung Van Nguyen, Minh Tuan Pham, Phuc Hao Do:
Marker selection for human activity recognition using combination of conformal geometric algebra and principal component regression. SoICT 2016: 374-379
Coauthor Index
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